Decision-Making Processes Used by Canadian National Sport Organization Boards: Differences Between Design Archetypes
Bibliographic record
Abstract
This paper examines the decision-making role of Canadian national sport organization boards, identifies the processes used to facilitate decision making by these boards, and explores whether these elements differ between the various design archetypes that exist among these organizations. Forty-five semistructured interviews were conducted with board members and senior staff of 22 Canadian national sport organizations, and data were thematically analyzed. Findings indicate board members and senior staff focused on strategy as their primary role, along with control over other roles (e.g., providing advice and counsel or securing resources). Roles differed according to the organization’s design archetype. Our analysis showed clear differences between design archetypes in terms of how these the organizations used structural artifacts such as subcommittees to facilitate decision making, navigated decision rights between board members and paid staff, and adhered to the Carver policy governance model promoted for national sport organizations by Sport Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".